More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation

2 December 2019

Papers citing "More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation"

23 / 23 papers shown

Title
Density-Guided Label Smoothing for Temporal Localization of Driving Actions Tunç Alkanat Erkut Akdag Egor Bondarev Peter H. N. de With 33 4 0 11 Mar 2024
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration Harry Cheng Yangyang Guo Liqiang Nie Zhiyong Cheng Mohan S. Kankanhalli 37 7 0 27 Jul 2023
Is end-to-end learning enough for fitness activity recognition? Antoine Mercier Guillaume Berger Sunny Panchal Florian Letsch Cornelius Boehm Nahua Kang Ingo Bax Roland Memisevic 21 2 0 14 May 2023
Look More but Care Less in Video Recognition Yitian Zhang Yue Bai Haiquan Wang Yi Xu Yun Fu 17 9 0 18 Nov 2022
Efficient Attention-free Video Shift Transformers Adrian Bulat Brais Martínez Georgios Tzimiropoulos ViT 27 1 0 23 Aug 2022
Deformable Video Transformer Jue Wang Lorenzo Torresani ViT 22 28 0 31 Mar 2022
Gate-Shift-Fuse for Video Action Recognition Swathikiran Sudhakaran Sergio Escalera O. Lanz 20 22 0 16 Mar 2022
Action Keypoint Network for Efficient Video Recognition Xu Chen Yahong Han Xiaohan Wang Yifang Sun Yi Yang 3DPC 19 6 0 17 Jan 2022
Representing Videos as Discriminative Sub-graphs for Action Recognition Dong Li Zhaofan Qiu Yingwei Pan Ting Yao Houqiang Li Tao Mei 23 25 0 11 Jan 2022
BEVT: BERT Pretraining of Video Transformers Rui Wang Dongdong Chen Zuxuan Wu Yinpeng Chen Xiyang Dai Mengchen Liu Yu-Gang Jiang Luowei Zhou Lu Yuan ViT 25 203 0 02 Dec 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio Valerii Likhosherstov Anurag Arnab K. Choromanski Mario Lucic Yi Tay Adrian Weller Mostafa Dehghani ViT 33 73 0 25 Nov 2021
Efficient Video Transformers with Spatial-Temporal Token Selection Junke Wang Xitong Yang Hengduo Li Li Liu Zuxuan Wu Yu-Gang Jiang ViT 14 63 0 23 Nov 2021
Temporal-attentive Covariance Pooling Networks for Video Recognition Zilin Gao Qilong Wang Bingbing Zhang Q. Hu P. Li 13 24 0 27 Oct 2021
Searching for Two-Stream Models in Multivariate Space for Video Recognition Xinyu Gong Heng Wang Zheng Shou Matt Feiszli Zhangyang Wang Zhicheng Yan 22 9 0 30 Aug 2021
MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition Jiawei Chen C. Ho ViT 24 76 0 20 Aug 2021
Attention Bottlenecks for Multimodal Fusion Arsha Nagrani Shan Yang Anurag Arnab A. Jansen Cordelia Schmid Chen Sun 25 539 0 30 Jun 2021
Space-time Mixing Attention for Video Transformer Adrian Bulat Juan-Manuel Perez-Rua Swathikiran Sudhakaran Brais Martínez Georgios Tzimiropoulos ViT 25 124 0 10 Jun 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition Rameswar Panda Chun-Fu Chen Quanfu Fan Ximeng Sun Kate Saenko A. Oliva Rogerio Feris 28 47 0 11 May 2021
ViViT: A Video Vision Transformer Anurag Arnab Mostafa Dehghani G. Heigold Chen Sun Mario Lucic Cordelia Schmid ViT 30 2,085 0 29 Mar 2021
VA-RED $^2$ : Video Adaptive Redundancy Reduction Bowen Pan Rameswar Panda Camilo Luciano Fosco Chung-Ching Lin A. Andonian Yue Meng Kate Saenko A. Oliva Rogerio Feris 15 19 0 15 Feb 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 280 1,981 0 09 Feb 2021
GTA: Global Temporal Attention for Video Action Understanding Bo He Xitong Yang Zuxuan Wu Hao Chen Ser-Nam Lim Abhinav Shrivastava ViT 24 27 0 15 Dec 2020
ECO: Efficient Convolutional Network for Online Video Understanding Mohammadreza Zolfaghari Kamaljeet Singh Thomas Brox 119 496 0 24 Apr 2018